andresgarciaescalante Goto Github PK

binocular-stereo-vision

Performing Dense correspondence matching and Depth Image Generation using Patch Matching and Gradients-Based Features algorithms.

command-line-generator

Design and Implement a Java GUI for a Command Line Generator using Netbeans

cppnd-capstone-snake-game

Create a snake game with additional features using c++

cppnd-concurrent-traffic-simulation

Develop a traffic simulation in which vehicles are moving along streets and are crossing intersections. In order to manage the traffic flow, then traffic lights have been added to the scenario, which required mutexes and creation of concurrent tasks

cppnd-memory-management-chatbot

The ChatBot code creates a dialogue where users can ask questions about some aspects of memory management in C++. The code optimizes the Memory Management using move semantics and smart pointers

cppnd-route-planning-project

Apply A* Algorithm to find a path from one point to another in google maps using C++

cppnd-system-monitor

Implement a Linux System Monitor that provides a convenient and consistent way to read the stats of the computer such as processes, RAM, CPU, and more

extended-kalman-filter

Compare the Position of a Turtlebot simulated in a Gazebo environment with a Filtered(Extended Kalman Filter) and a Unfilered Trajectories

facial_kepoints_cnn

Development of a Facial Keypoints Detection model based on a Convolutional Neural Network. The model is able to be executed in Real-time.

fire-fighter-problem

Our approach uses a Fuzzy Hyper Heuristic model for solving the Fightfighter problem. However, we mainly focus in the fuzzification stage, where we provide three different models using triangular, trapezoidal, and gaussian member functions to represent the features.

folder-structure-conventions

Folder / directory structure options and naming conventions for software projects

gochasetheball

Design a robot model from scratch and being able to follow a white ball in an environment using ROS, Rviz, and Gazebo.

grid-based-fastslam

Perform SLAM using Grid-based-FastSLAM in a simulated Gazebo environment.

home-service-robot

Development of a mobile robot that performs SLAM, Path Planning, and picks up objects generated in the Gazebo world

kidnapped-vehicle

Implement localization to an simulated vehicle in an simulated univity environment.

mobile-collaborative-robot

Implemented a solution for the material transference between manufacturing and assembly stations using two industrial robots OMRON AIV and TM5-700 COBOT merged as a single robot to complete the task.

my_gazebo_world

Development of a world and models in gazebo from scratch.

occupancy_grid_mapping

Plot a map using OGM

path-planning-autonomous-car

Implement a safe autonomous navigation in a simulated 3D environment full of cars. Apply concepts like prediction, finite state machines, behavior planning, and more.

pedestrian_cars_cyclists_object_detection

For this project, a convolutional neural network is used to detect and classify objects using data from Waymo dataset. The model is able to detec pedestrians, cyclists, and vehicles.

pid_controller_car

Implement a PID controller in C++ to maneuver the vehicle around the track.

real-time-appearance-based-mapping

Create a 2D occupancy grid and 3D octomap from a simulated Gazebo environment using the RTAB-Map package.

robond-kinematics-project

Pick and place an object using a KUKA KR 210

robond-perception-exercises

Perception Exercises for Robotics

robond-rover-project

Rover-Nasa vehicle driving in Autonomous mode in a simulated enviroment.

schnell-language

Design and implemetation of my own programming language called "Schnell" using Python-Lex-Yacc.

self_driving_car_capstone_project

Implement a safe autonomous navigation in a simulated 3D environment. In the simulation there will be traffic lights, that must be recognized by the self-driving car using a camera. Based on the state of the traffic light the car keeps moving, reduce the velocity, or stops. The self-driving car needs to be able to not exceed the maximum velocity, not exceed the maximum acceleration, not exceed the maximum jerk, and create smooth trajectories.

sfnd_lidar_obstacle_detection

street-view-house-numbers-using-efficientdet

Street number detection and recognition using a digits detector and digit concatenation, with the aim of finding the best method to pre-classify characters one at a time.

where-is-my-robot

Apply ROS AMCL package to accurately localize a mobile robot inside a map in the Gazebo simulation environment.